Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Michael O. Lawanson, a Nigerian data scientist at the University of Arkansas, United States, is at the forefront of global ...

Health Insurance Equity, Social Determinants, Socioeconomic Status, Insurance Quality, Urban-Rural Disparity, Hukou, China ...

Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...

By training statistical and machine-learning models to predict expert visual scores, the study demonstrates that phenomics can match or outperform ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

The issue: Many runners (particularly women) report that their fitness trackers tell them they’re exercising in a higher zone ...